vicariousinc / science_cognitive_programsLinks
Implementation of concept induction for Science Robotics paper
☆21Updated 2 years ago
Alternatives and similar repositories for science_cognitive_programs
Users that are interested in science_cognitive_programs are comparing it to the libraries listed below
Sorting:
- ☆54Updated 4 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆116Updated 6 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆78Updated 6 years ago
- ☆84Updated 5 years ago
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programs☆20Updated 3 months ago
- ☆28Updated 5 years ago
- Phy-Q: A Testbed for Physical Reasoning☆45Updated last year
- Physics games involving tool use for studying human physical representations and rapid trial-and-error learning☆50Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- A job launching library for docker, EC2, GCP, etc.☆57Updated 4 years ago
- ☆81Updated 3 years ago
- CLEVR-Robot: a reinforcement learning environment combining vision, language and control.☆138Updated last year
- ☆16Updated 4 years ago
- Entity Abstraction in Visual Model-Based Reinforcement Learning☆57Updated 5 years ago
- Code for 'Emergent Symbols through Binding in External Memory'.☆21Updated 2 years ago
- A differentiable LCP physics engine in PyTorch.☆310Updated 5 years ago
- Reinforcement learning library in JAX.☆100Updated 2 years ago
- ☆125Updated 2 years ago
- Library to compare and evaluate reward functions☆67Updated 2 years ago
- A Python interface for Minecraft built on gRPC☆126Updated 3 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 3 years ago
- PyTorch Package For Quasimetric Learning☆45Updated last year
- A networking protocol for agent-environment communication☆107Updated 11 months ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆80Updated 2 years ago
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆87Updated 2 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆78Updated 2 years ago
- ☆80Updated 2 years ago
- impact-driven-exploration☆133Updated 2 years ago
- ☆113Updated 3 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago